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:orange[Hyper Paramaters Optimization class]

nets.opti.blackbox

Hyper Objects

class Hyper(SCI)

Hyper parameter tunning class. Allows to generate best NN architecture for task. Inputs are column indexes. idx[-1] is targeted value.

start_study

def start_study(n_trials: int = 100,
                neptune_project: str = None,
                neptune_api: str = None)

Starts study. Optionally provide your neptune repo and token for report generation.

Arguments:

• n_trials int, optional - Number of iterations. Defaults to 100.
• neptune_project str, optional - None
• neptune_api (str, optional):. Defaults to None.

Returns:

• dict - quick report of results